서비스 이용자의 지각된 위험이 AI추천시스템 이용의도에 미치는 영향

This study examines the intention to use, and the willingness to pay for an AI treatment recommendation system according to the disease severity and risk attitude of medical service users. To test the effects of disease severity and risk attitude on the medical service users’ intention to use AI treatment recommendation system, we compared the users’ intention and willingness to pay for the treatment on the assumption that they had mild disease such as a cold or severe disease such as a cancer. We also measured their risk-taking attitudes and categorized them into high-and low-risk-taking groups. Based on the results, respondents had a higher intention to use and willingness to pay for the AI treatment recommendation system for severe diseases than for mild ones. Furthermore, respondents with high risk-taking attitudes were more willing to use the AI treatment recommendation system than those with low risk-taking attitudes. The risk-taking attitude moderated the effect of disease severity on the intention to use and willingness to pay, as in the case of severe disease , the respondents had a strong intention to use it regardless of their risk-taking attitude, while in the case of mild diseases, the intention differed between the low and the high risk-taking groups.